Mondrian AI (official site) is an organization that describes itself as having an “Finish-to-Finish AI Platform for the complete AI improvement course of,” together with a consulting service to place an entire answer into service from a buyer’s enterprise request and desires.
Mondrian’s Yennefer Enterprise AI Platform (link) appears very full and handles {hardware} useful resource allocation, AI mannequin deployments, and the information pipeline from the place it’s saved by means of processing to the end-user dashboard.
Though AI is the first focus lately, the corporate has constructed experience in information science and information visualization since they have a tendency to make use of an identical stack and are in excessive demand by numerous clients.
Yennefer is designed to deal with the whole improvement workflow and may interface with customary instruments equivalent to GitHub, the massive public clouds the place code and information are. Prospects can then construct their information processing with the mannequin of their alternative and outline their system configurations by software program. Lastly, that is all deployed and managed in manufacturing.
Such a platform can drastically speed up how briskly an entire answer could be deployed. Most firms, even big ones, don’t have the engineering assets and know-how for each enterprise unit or key challenge to deploy a serious AI challenge.
That’s the place the consulting facet of Mondrian AI may give it an edge with particular clients, particularly those that wish to deploy one thing complicated comparatively shortly. Whereas there are an increasing number of platforms that declare to carry out comparable duties, the enterprise is predicted to supply its personal engineering or consultants. Simply discovering or deciding on these can already be difficult.
Prospects who wish to run their AI workflows on-premises may be articulately fascinated about Yennefer because it was constructed for that. Many startups like beginning their operations on public clouds for comfort, however giant, established firms are sometimes stricter about the place their information can reside.
Mondrian should additionally select its tasks rigorously, as its engineering assets aren’t limitless. It has labored with prestigious firms equivalent to Samsung, SK Telecom, Seoul College, and the Incheon Airport.
Curiously, the corporate can be constructing its personal ChatGPT-like system, optimized for the Korean language. The massive language fashions (LLMs) we usually hear about are skilled with English language content material, and it’s not unusual to listen to builders complain concerning the lack of datasets to coach LLMs in different languages.
Now, AI-based functions use the RAG (Retrieval augmented technology) structure to construct chatbots that may reply particular or proprietary questions. Nevertheless, RAG depends on a high-performing LLM. Mondrian AI thinks its upcoming LLM can do the job, which could possibly be a strong argument for Korean firms to undertake the platform.
Constructing a platform with such depth is spectacular for a younger firm. There are numerous transferring components that require cross-disciplinary experience along with manufacturing information as properly.
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